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A method of urban traffic flow speed estimation using sparse floating car data
Wang, Xiaomeng1; Peng, Ling1; Chi, Tianhe1
刊名Cehui Xuebao/Acta Geodaetica et Cartographica Sinica
2016
卷号45期号:7页码:866-873
通讯作者Peng, Ling (plqiqi@126.com)
英文摘要The sample spatio-temporalsparsity is one of the major challenges for traffic estimation when using floating car data (FCD). Spatio-temporal characteristics of road traffic flow are analysed and applied to build a naive Bayes-based traffic estimation model which is proposed to estimate the missing traffic state of the roads which are not covered by samples. In the model, the adjacent period traffic flow speed of the target road segment is considered for the representation of the time characteristic. And instead of Euclidean distance and topology relationship, urban traffic flow similarity relationships are mined to quantify the interior space features of urban traffic.The result demonstrates that the method is effective for missing traffic state estimation and more precision compared to traditional methods based on topology relationship.As a conclusion, the proposed model can solve the spatio-temporal sparsity problem effectively, which has a strong practical significance for traffic application based on FCD. © 2016, Surveying and Mapping Press. All right reserved.
收录类别EI
语种中文
WOS记录号WOS:20163202690854
内容类型期刊论文
源URL[http://ir.radi.ac.cn/handle/183411/39660]  
专题遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位1. University of Chinese Academy of Sciences, Beijing
2.100049, China
3. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing
4.100101, China
推荐引用方式
GB/T 7714
Wang, Xiaomeng,Peng, Ling,Chi, Tianhe. A method of urban traffic flow speed estimation using sparse floating car data[J]. Cehui Xuebao/Acta Geodaetica et Cartographica Sinica,2016,45(7):866-873.
APA Wang, Xiaomeng,Peng, Ling,&Chi, Tianhe.(2016).A method of urban traffic flow speed estimation using sparse floating car data.Cehui Xuebao/Acta Geodaetica et Cartographica Sinica,45(7),866-873.
MLA Wang, Xiaomeng,et al."A method of urban traffic flow speed estimation using sparse floating car data".Cehui Xuebao/Acta Geodaetica et Cartographica Sinica 45.7(2016):866-873.
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